Homomorphic Encryption: CKKS Use Cases

Homomorphic encryption is a powerful concept that allows computations to be performed on encrypted data without decrypting it first. The CKKS (Ciphertext-Knowledge Encryption Scheme) is a specific type of homomorphic encryption that supports arithmetic operations on encrypted data. Below are some common use cases for CKKS:

Common Use Cases

  • Secure Data Analysis: Perform computations on sensitive data without revealing the data itself.
  • Healthcare: Analyze patient data for research purposes without compromising patient privacy.
  • E-commerce: Process transactions securely while maintaining the confidentiality of payment information.
  • Machine Learning: Train machine learning models on encrypted data to improve privacy.

Detailed Examples

  • Healthcare Analytics: Imagine a scenario where a hospital wants to analyze patient data to identify trends without revealing individual patient information. CKKS can be used to encrypt patient data and then perform computations on the encrypted data to identify commonalities and trends.
  • E-commerce Transactions: In online shopping, CKKS can be used to encrypt payment details and then perform operations such as calculating totals or verifying transactions without decrypting the sensitive information.

Further Reading

For more information on homomorphic encryption and CKKS, you can explore the following resources:

Homomorphic Encryption